Confidentiality-smart voice delivery of text-based incoming messages

ABSTRACT

Methods, computer program products, and systems are presented. The methods include, for instance: a voice delivery application, running on a mobile device of a user, receives a text message from a user; by use of sensor inputs of the mobile device, the mobile device stores data regarding environment of the mobile device including external audio equipment, speed of the user, and bystanders within a hearing range of the environment; various data describing a sender of the text message and the bystanders are analyzed for respective relationships with the user and with each other to determine a confidentiality group dictating whether or not the text message may be heard by the bystander; the text message may be scanned for content screening, then according to configuration of the voice delivery application, the text message is securely delivered to the user by voice.

CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No.16/198,444, filed Nov. 21, 2018, entitled “Confidentiality-Smart VoiceDelivery of Text-Based Incoming Messages”, the entirety of which ishereby incorporated herein by reference and which is a continuation ofU.S. patent application Ser. No. 15/842,973, filed Dec. 15, 2017entitled “Confidentiality-Smart Voice Delivery of Text-Based IncomingMessages”, the entirety of which is hereby incorporated herein byreference and which is a continuation of U.S. Pat. No. 9,912,800, issuedon Mar. 6, 2018, entitled “Confidentiality-Smart Voice Delivery ofText-Based Incoming Messages”, the entirety of which is herebyincorporated herein by reference.

TECHNICAL FIELD

The present disclosure relates to mobile communication application, andmore particularly to methods, computer program products, and systems fora confidentiality-concerned auditory delivery of text-based incomingmessages by use of real time analysis of relationships amongst peopleassociated with the auditory delivery.

BACKGROUND

As mobile communication technology has developed, and accordingly causesdriving safety concerns due to distraction to drivers caused by incomingmessages, many voice delivery tools of such incoming messages have alsoemerged. However, in case of confidential messages, it is not desirableto read out the confidential messages in presence of people other thanan intended recipient.

SUMMARY

The shortcomings of the prior art are overcome, and additionaladvantages are provided, through the provision, in one aspect, of amethod. The method for confidentially delivering a text-based message byvoice includes, for example: receiving, by a voice delivery applicationrunning on a user mobile device, the text-based message to a user usingthe user mobile device sent from a sender using the sender device viamobile services network; storing device environment data includinginputs from at least one sensor of the user mobile device; determining,based on the device environment data, that the user mobile device isenabled to read the text-based message out for the user, and that atleast one bystander is present within a hearing distance from the user;recording that the sender and the bystander are in a sameconfidentiality group based on data including communication servicesubscription data of the user, contacts stored in the user mobiledevice, and social media data for each of the user, the sender, and thebystander, respectively; scanning content of the text-based message forany confidentiality restriction based on predefined keywords appearingin envelope data of the text based message; ascertaining that the userwants the text-based message to be read to the user, according toconfiguration of the voice delivery application or a response to readthe text-based message from the user upon being prompted; and deliveringthe text-based message by voice such that the user hears the text-basedmessage.

Additional features are realized through the techniques set forthherein. Other embodiments and aspects, including but not limited tocomputer program product and system, are described in detail herein andare considered a part of the claimed invention.

BRIEF DESCRIPTION OF THE DRAWINGS

One or more aspects of the present invention are particularly pointedout and distinctly claimed as examples in the claims at the conclusionof the specification. The foregoing and other objects, features, andadvantages of the invention are apparent from the following detaileddescription taken in conjunction with the accompanying drawings inwhich:

FIG. 1 depicts a voice delivery application in a mobile communicationenvironment, in accordance with one or more embodiments set forthherein;

FIG. 2 depicts confidentiality-related data elements stored in thecriteria database of FIG. 1, in accordance with one or more embodimentsset forth herein;

FIG. 3 depicts a top-level flowchart for the message readout preferenceanalyzer of FIG. 1, in accordance with one or more embodiments set forthherein;

FIG. 4A depicts a flowchart of block 320 of the message readoutpreference analyzer of FIG. 3, diagnosing user device environment, inaccordance with one or more embodiments set forth herein;

FIG. 4B depicts a flowchart of block 330 of the message readoutpreference analyzer of FIG. 3, analyzing interrelationships amongst theuser, the sender, and the bystanders, in accordance with one or moreembodiments set forth herein;

FIG. 4C depicts a flowchart of block 360 of the message readoutpreference analyzer of FIG. 3, making determination on as well asperforming the voice delivery, in accordance with one or moreembodiments set forth herein;

FIG. 5 depicts a cloud computing node according to an embodiment of thepresent invention;

FIG. 6 depicts a cloud computing environment according to an embodimentof the present invention; and

FIG. 7 depicts abstraction model layers according to an embodiment ofthe present invention.

DETAILED DESCRIPTION

FIG. 1 depicts a voice delivery application 130 in a mobilecommunication environment 100, in accordance with one or moreembodiments set forth herein.

The mobile communication environment 100 includes a user mobile device120 and a sender device 122 connected by a mobile services network 110.The sender device 122 sends a text-based message to the user mobiledevice 120 via the mobile services network 110. In this specification,terms “text-based message”, “text message” and “message” are usedinterchangeably; terms “mobile device” and “device” are usedinterchangeably. A sender associated with the sender device 122 and auser associated with the user mobile device 120 are subscribing torespective communication service, which are coupled to the mobileservices network 110. Dashed arrows between the mobile services network110 and both the sender device 122 and the user mobile device 120represent that the devices 120, 122 are enabled to independentlycommunicate with the respective communication service, as well as tocommunicate with each other via the mobile service network 110.

The user mobile device 120 includes the voice delivery application 130that determines whether or not to read out the text-based message basedon confidentiality concerns. In one embodiment of the present invention,the voice delivery application 130 is implemented as a mobileapplication that may be embedded in and/or downloaded to the user mobiledevice 120, which is a smart mobile device such as a smart cellularphone.

The voice delivery application 130 includes a criteria database 140, amessage readout preference analyzer 150, and interfaces 160 for userinteraction as well as for interactions with the smart mobile device.The voice delivery application 130 enables the user to promptly receivethe text-based message while safely engaging in driving as well aspreventing incidental breach of confidentiality of the text-basedmessage caused by presence of bystanders who should not hear the same.In one embodiment of the present invention, the voice deliveryapplication 150 may utilize an external commercial products to determinebystander composition and a confidentiality group associated with thebystanders by use of location data and/or other sensor data associatedwith the bystanders and applies real time analytics. In one embodimentof the present invention, the voice delivery application 130 and themessage readout preference analyzer 150 are respectively implemented asone or more program 40 and program modules 42 of FIG. 5, which run onone or more processor 16 of FIG. 5, of a computer system 12 of FIG. 5,implementing the user mobile device 120.

The criteria database 140 includes data elements representingconfidentiality criteria used by the message readout preference analyzer150 to determine whether or not to read out the text-based message inthe presence of bystanders such as passengers other than a user of theuser mobile device 120 in a vehicle. The data elements of the criteriadatabase 140 may include sender information in envelope data of thetext-based message, subscription information of the respectivecommunication service of the sender, the user, and the bystanders withinhearing distance of the user mobile device 120, interrelationship dataof the sender, the user, and the bystanders, social media profile andinterrelationship data of the sender, the user, and the bystanders, etc.See FIG. 2 and corresponding description for details of the criteriadatabase 140.

The message readout preference analyzer 150 determines whether or not toread out the text-based message in the presence of the bystanders, byuse of default setting of the voice delivery application 130, as well asanalysis of various confidentiality criteria information stored in thecriteria database 140 as shown above and FIG. 2. See descriptions andfigures FIGS. 3, 4A, 4B, and 4C, for details of the message readoutpreference analyzer 150.

In one embodiment of the present invention, the voice deliveryapplication 130 utilizes a selection from technologies related to safedriving enabling hands free operation of mobile smart phones,text-to-speech/speech-to-text tools, caller ID tools, as well ascognitive message analysis by use of cloud services such as IBM® Watsoncognitive services. (IBM is a registered trademark of InternationalBusiness Machines, Corporation in the United States and other countries)

FIG. 2 depicts confidentiality-related data elements stored in thecriteria database 140 of FIG. 1, in accordance with one or moreembodiments set forth herein.

The criteria database 140 includes sender data 210, message 230,confidentiality criteria data 250, user data 270, and voice deliveryapplication configuration data 290.

The sender data 210 includes attributes including sender device ID or aphone number associated with the sender device, as an envelopeinformation for the text-based message. The message 230 is thetext-based message as represented by data elements including messagecontent 232 having the body of the text-based message. The message 230may further include a confidentiality flag 231 indicating a level ofconfidentiality requested by the sender for the text-based message. Whenthe text-based message is delivered to the user mobile device, thesender data 210 and the message 230 are stored in the criteria database140.

The confidentiality criteria data 250 includes numerous relationshipdata in determining whether or not the bystanders are at least in thesame confidentiality group as the sender and the user. Theconfidentiality criteria data 250 includes mobile service subscriptiondata 251 and a social media profile 254 for each bystander. The mobileservice subscription data 251 includes a mobile subscriberidentification/phone number 252 and a relationship of the subscriberwith the user 253. For example, when the user receives a text messagewithout a confidentiality flag and if the sender, the user, and thebystanders are all subscribed to a group plan for a family and friends,then the text message is regarded not confidential to the bystanders.For another example, if the user and the sender subscribes to a samebusiness plan and the text message is marked as “confidential” or havinga business related keyword predefined for confidentiality, then the textmessage is confidential to the bystanders subscribing to the same familyplan as the user. The social media profiles 254 includes a social mediasubscriber identification 255 and a social media profile 254 for eachbystander. For example, if the sender sends a text message with noconfidentiality flag to the user who is a friend with the sender, whenthe bystanders are also friends with the sender in the same socialmedia, the text message may be non-confidential to the bystanders.

The user data 270 includes contacts 271 stored in the user mobile deviceand/or other account databases that are accessible from the user mobiledevice. The user data 270 further includes user motion and speed data272, external devices and sensor inputs 273, and bystanderidentification and key 274 as detected from various sensors for readingproximity data of devices and global positioning system (GPS) data ofthe user mobile device.

The voice delivery application configuration data 290 includes defaultsetting for various parameters of the voice delivery application such asthreshold speed and confidentiality categories.

FIG. 3 depicts a top-level flowchart for the message readout preferenceanalyzer 150 of FIG. 1, in accordance with one or more embodiments setforth herein.

In block 310, the message readout preference analyzer 150 of the usermobile device receives the text-based message from the sender devicecommunicated via the mobile services network. The sender device may be,for example, a smart phone, a text message/email application running ona computer, etc. Then the message readout preference analyzer proceedswith block 320.

In block 320, the message readout preference analyzer 150 diagnoses thedevice environment of the user mobile device by use of sensor inputs andlocation data of the user mobile device. See FIG. 4A and correspondingdescription for details of the device environment diagnosis. Then themessage readout preference analyzer proceeds with block 330.

In block 330, the message readout preference analyzer 150 analyzesinterrelationships amongst the sender, the user, and the bystanders todetermine which level of confidentiality is necessary for reading outthe received message. See FIG. 4B and corresponding description fordetails of the relationship analysis. Then the message readoutpreference analyzer proceeds with block 340.

In block 340, the message readout preference analyzer 150 determineswhether or not the content of the received message should be scanned fora confidentiality concern as in case of “confidentiality” flag value inthe received message requiring a content scan, or the device environmentand/or the relationships between the user and the bystanders areconfigured for the content scan, etc. If the message readout preferenceanalyzer 150 determines that the received message needs to be scanned,then the message readout preference analyzer 150 proceeds with block350. If the message readout preference analyzer 150 determines that thereceived message need not be scanned to keep it confidential, then themessage readout preference analyzer 150 proceeds with block 360.

In block 360, the message readout preference analyzer 150 determineswhether or not to deliver the message by reading it to the user based onthe confidentiality information gathered so far, and either read themessage to the user or not, according to the determination. See FIG. 4Cand corresponding description for details of the readout determinationand delivery. Then the message readout preference analyzer 150terminates processing the message received in block 310 as thedetermination has been made and the delivery is executed accordingly. Inone embodiment of the present invention, the message readout preferenceanalyzer 150 may hand the control over to a voice reply applicationsubsequent to block 360, according to the voice delivery applicationconfiguration data.

FIG. 4A depicts a flowchart of block 320 of the message readoutpreference analyzer of FIG. 3, diagnosing user device environment, inaccordance with one or more embodiments set forth herein.

In block 3201, the message readout preference analyzer gathers inputsfrom sensors of the user device, particularly to detect externalspeakers coupled by a Bluetooth® interface, and to detect motion andspeed by motion sensor inputs. (Bluetooth is a registered trademark ofBluetooth Special Interest Group (SIG), in the United States and othercountries) Then the message readout preference analyzer proceeds withblock 3202.

In block 3202, the message readout preference analyzer determines if theuser mobile device is coupled to the external speakers. If the messagereadout preference analyzer determines that the user mobile device isnot coupled to the external speakers, then message readout preferenceanalyzer proceeds with block 3203. If the message readout preferenceanalyzer determines that the user mobile device is coupled to theexternal speakers, then the message readout preference analyzer proceedswith block 3204. Wherein the external speakers are coupled, the messagereadout preference analyzer presumes that the user may be driving in avehicle with a voice delivery capacity.

In block 3203, the message readout preference analyzer determines if theuser is in motion by comparing the speed of the user mobile device to apredefined threshold speed. If the message readout preference analyzerdetermines that the user mobile device is moving at or faster than thepredefined threshold speed, the message readout preference analyzerproceeds with block 3204. In one embodiment of the present invention,the predefined threshold speed is configured as ten (10) mph based onthat the user moving at or faster than ten (10) mph is not safe to checkthe received message on the user mobile device without a voice delivery.If the message readout preference analyzer determines that the usermobile device is moving slower than the predefined threshold speed, themessage readout preference analyzer terminates based on that the usermoving slower than the predefined threshold speed may visually check thereceived message on the user mobile device in safety without the voicedelivery.

In block 3204, the message readout preference analyzer determines if theuser has any bystanders nearby. If the message readout preferenceanalyzer determines that there is no bystander near the user mobiledevice, then the message readout preference analyzer proceeds with block360 of FIG. 3, beginning at block 3601 of FIG. 4C, as the message may beread out to the user in privacy regardless of the content of themessage. If the message readout preference analyzer determines thatthere is a bystander near the user mobile device, then the messagereadout preference analyzer proceeds with block 360 of FIG. 3, beginningat block 3301 of FIG. 4B, as the relationship with the bystander needsto be checked out for confidential voice delivery of the message.

In other embodiment of the present invention, the voice deliveryapplication may be configured distinctively from blocks 3202, 3203, and3204 to make the most appropriately presume the environment of the usermobile device, or may be configured according to inputs from the user.

FIG. 4B depicts a flowchart of block 330 of the message readoutpreference analyzer of FIG. 3, analyzing interrelationships amongst theuser, the sender, and the bystanders, in accordance with one or moreembodiments set forth herein.

In block 3301, the message readout preference analyzer determines theuser-sender-bystander interrelationship by examining the mobile servicesubscription data of the user for the sender identification and thebystander identification in the same group subscription plan as theuser. The mobile service subscription data may be accessed from themobile service provider in real time. If the message readout preferenceanalyzer determines that the user-sender-bystander are in the same groupplan as the user, then the message readout preference analyzer proceedswith block 3304, based on the inference that the people from the samesubscription plan may confidentially share communication. Otherwise, themessage readout preference analyzer proceeds with block 3302.

In block 3302, the message readout preference analyzer determines theuser-sender-bystander interrelationship by examining contacts as storedin the user mobile device for entries representing the sender and thebystander and for group information of the contact entries. If themessage readout preference analyzer determines that theuser-sender-bystander are in the same group within the contacts asstored by the user, then the message readout preference analyzerproceeds with block 3304. Otherwise, the message readout preferenceanalyzer proceeds with block 3303.

In block 3303, the message readout preference analyzer determines theuser-sender-bystander interrelationship and interactions by examiningsocial media profiles of the user, the sender, and the bystander fortheir relationships such as Friend or Follower status and their previousinteractions such as Like or Retweet of Facebook, Twitter, Snapchat,WhatsApp, etc. If the message readout preference analyzer determinesthat the user-sender-bystander are related via social media and haveenough interactions compared to a minimum set for a confidentialitygroup, then the message readout preference analyzer proceeds with block3304. If the message readout preference analyzer determines that theuser-sender-bystander relationship is not related and/or theirinteractions are less than minimum, then the message readout preferenceanalyzer terminates processing the received text-based message forreadout analysis, based on the inference that the user-sender-bystanderdo not have any relationship and cannot confidentially sharecommunication.

In block 3304, the message readout preference analyzer marks thebystander for the same confidentiality group as the sender indicatingthat a message to and from any one of the user, the sender, and thebystander may be confidentially shared within the confidentiality groupin the presence of any one in the confidentiality group. Then themessage readout preference analyzer completes relationship analysis andproceeds with proceeds with block 340 of FIG. 3.

FIG. 4C depicts a flowchart of block 360 of the message readoutpreference analyzer of FIG. 3, making determination on as well asperforming the voice delivery, in accordance with one or moreembodiments set forth herein.

In block 3601, the message readout preference analyzer prepares to readout the message, as the relationship of audiences including the user andthe bystander has been determined as confidential enough to share thereceived message, as well as the content is regarded to be safe to readout either after the content scan in block 350 or no content scan wasdeemed required. Such preparation may include, but not limited to,getting access to the external speakers coupled to the user mobiledevice as discovered in block 3202 of FIG. 4A, checking configurationfor text-to-voice applications and/or functionalities available to thevoice delivery application, etc. Then the message readout preferenceanalyzer proceeds with block 3602.

In block 3602, the message readout preference analyzer checksconfiguration data of the message readout preference analyzer forreadout preference setting by the user. Then the message readoutpreference analyzer proceeds with block 3603.

In block 3603, the message readout preference analyzer determines ifreading the message out for a voice delivery is a default setting of theuser. If the message readout preference analyzer determines that readingthe message out is not the default setting of the user, then the messagereadout preference analyzer proceeds with block 3604. If the messagereadout preference analyzer determines that reading the message out isthe default setting of the user, then the message readout preferenceanalyzer proceeds with block 3605.

In block 3604, the message readout preference analyzer prompts the userfor a response to whether or not to read the message out. If the userresponds not to read the message out, then the message readoutpreference analyzer terminates processing of the received message. Ifthe user responds to read the message, then the message readoutpreference analyzer proceeds with block 3605.

In block 3605, the message readout preference analyzer reads thereceived message to the user as either the user set the readout of textmessage as a default or the user responded to read the message out. Inother embodiment of the present invention, the message readoutpreference analyzer may invoke a speech-to-text application subsequentto the read out such that the user may respond to the sender hands-free.Then the message readout preference analyzer completes processing thereceived message.

Certain embodiments of the present invention may offer various technicalcomputing advantages, including increasing the security in mobilecommunication environments and the computing efficiency of mobiledevices in determining a level of security when a text-based message isto be delivered by audio signal such as voice. Certain embodiments ofthe present invention implement automated screening of bystanders bycollecting a series of account data of a user in real time, andimproving efficiency in the automated screening by checking the accountdata in a certain order of decreasing importance such that the real timedata collection and associated relationship analysis should be done inthe shortest time with minimal accesses.

Certain embodiments of the present invention enables establishing asecure group for the voice delivery to the user by scanning content ofthe text-based message according to configuration the embodiments suchas security/confidentiality flag, assignments of a key to a bystanderwith proximity data of the mobile devices. Accordingly, the sameembodiments of the present invention offer security of communicationvery efficiently by enabling voice communication of the text-basedmessage with people from the secure group without real time datacollection, relationship analysis, and content scanning as usuallyrequired to attain security. Further, certain embodiments of the presentinvention may improve efficiency of content scanning, real time datacollection and analysis by employing a centralized analytics system, ina cloud or a data center environment, having substantially morecomputing resources that the mobile devices and consequently enablingdelivery of the same functionality without overloading the mobiledevices.

FIGS. 5-7 depict various aspects of computing, including a computersystem and cloud computing, in accordance with one or more aspects setforth herein.

It is understood in advance that although this disclosure includes adetailed description on cloud computing, implementation of the teachingsrecited herein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 5, a schematic of an example of a computersystem/cloud computing node is shown. Cloud computing node 10 is onlyone example of a suitable cloud computing node and is not intended tosuggest any limitation as to the scope of use or functionality ofembodiments of the invention described herein. Regardless, cloudcomputing node 10 is capable of being implemented and/or performing anyof the functionality set forth hereinabove.

In cloud computing node 10 there is a computer system 12, which isoperational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system 12 include, but are not limitedto, personal computer systems, server computer systems, thin clients,thick clients, hand-held or laptop devices, multiprocessor systems,microprocessor-based systems, set top boxes, programmable consumerelectronics, network PCs, minicomputer systems, mainframe computersystems, and distributed cloud computing environments that include anyof the above systems or devices, and the like.

Computer system 12 may be described in the general context of computersystem-executable instructions, such as program modules, being executedby a computer system. Generally, program modules may include routines,programs, objects, components, logic, data structures, and so on thatperform particular tasks or implement particular abstract data types.Computer system 12 may be practiced in distributed cloud computingenvironments where tasks are performed by remote processing devices thatare linked through a communications network. In a distributed cloudcomputing environment, program modules may be located in both local andremote computer system storage media including memory storage devices.

As shown in FIG. 5, computer system 12 in cloud computing node 10 isshown in the form of a general-purpose computing device. The componentsof computer system 12 may include, but are not limited to, one or moreprocessors or processing units 16, a system memory 28, and a bus 18 thatcouples various system components including system memory 28 toprocessor 16.

Bus 18 represents one or more of any of several types of bus structures,including a memory bus or memory controller, a peripheral bus, anaccelerated graphics port, and a processor or local bus using any of avariety of bus architectures. By way of example, and not limitation,such architectures include Industry Standard Architecture (ISA) bus,Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, VideoElectronics Standards Association (VESA) local bus, and PeripheralComponent Interconnects (PCI) bus.

Computer system 12 typically includes a variety of computer systemreadable media. Such media may be any available media that is accessibleby computer system 12, and it includes both volatile and non-volatilemedia, removable and non-removable media.

System memory 28 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 30 and/or cachememory 32. Computer system 12 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 34 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 18 by one or more datamedia interfaces. As will be further depicted and described below,memory 28 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

One or more program 40, having a set (at least one) of program modules42, may be stored in memory 28 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of the voicedelivery application 130 of FIG. 1. Program modules 42, as in themessage readout preference analyzer 150 of FIG. 1, generally carry outthe functions and/or methodologies of embodiments of the invention asdescribed herein.

Computer system 12 may also communicate with one or more externaldevices 14 such as a keyboard, a pointing device, a display 24, etc.;one or more devices that enable a user to interact with computer system12; and/or any devices (e.g., network card, modem, etc.) that enablecomputer system 12 to communicate with one or more other computingdevices. Such communication can occur via Input/Output (I/O) interfaces22. Still yet, computer system 12 can communicate with one or morenetworks such as a local area network (LAN), a general wide area network(WAN), and/or a public network (e.g., the Internet) via network adapter20. As depicted, network adapter 20 communicates with the othercomponents of computer system 12 via bus 18. It should be understoodthat although not shown, other hardware and/or software components couldbe used in conjunction with computer system 12. Examples, include, butare not limited to: microcode, device drivers, redundant processingunits, external disk drive arrays, RAID systems, tape drives, and dataarchival storage systems, etc.

Referring now to FIG. 6, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 comprises one or morecloud computing nodes 10 with which local computing devices used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 54A, desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 54A-N shownin FIG. 6 are intended to be illustrative only and that computing nodes10 and cloud computing environment 50 can communicate with any type ofcomputerized device over any type of network and/or network addressableconnection (e.g., using a web browser).

Referring now to FIG. 7, a set of functional abstraction layers providedby cloud computing environment 50 (FIG. 6) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 7 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 61; RISC(Reduced Instruction Set Computer) architecture based servers 62;servers 63; blade servers 64; storage devices 65; and networks andnetworking components 66. In some embodiments, software componentsinclude network application server software 67 and database software 68.

Virtualization layer 70 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers71; virtual storage 72; virtual networks 73, including virtual privatenetworks; virtual applications and operating systems 74; and virtualclients 75.

In one example, management layer 80 may provide the functions describedbelow. Resource provisioning 81 provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricing 82provide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 83 provides access to the cloud computing environment forconsumers and system administrators. Service level management 84provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 85 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 90 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 91; software development and lifecycle management 92; virtualclassroom education delivery 93; data analytics processing 94;transaction processing 95; and processing components for a cognitiveanalytics of a text-based message, a user device environment diagnosis,and a sender-user-bystander interrelationship analysis 96, as describedherein. The processing components 96 can be understood as one or moreprogram 40 described in FIG. 5.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

The terminology used herein is for the purpose of describing particularembodiments only and is not intended to be limiting. As used herein, thesingular forms “a,” “an,” and “the” are intended to include the pluralforms as well, unless the context clearly indicates otherwise. It willbe further understood that the terms “comprise” (and any form ofcomprise, such as “comprises” and “comprising”), “have” (and any form ofhave, such as “has” and “having”), “include” (and any form of include,such as “includes” and “including”), and “contain” (and any form ofcontain, such as “contains” and “containing”) are open-ended linkingverbs. As a result, a method or device that “comprises,” “has,”“includes,” or “contains” one or more steps or elements possesses thoseone or more steps or elements, but is not limited to possessing onlythose one or more steps or elements. Likewise, a step of a method or anelement of a device that “comprises,” “has,” “includes,” or “contains”one or more features possesses those one or more features, but is notlimited to possessing only those one or more features. Furthermore, adevice or structure that is configured in a certain way is configured inat least that way, but may also be configured in ways that are notlisted.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below, if any, areintended to include any structure, material, or act for performing thefunction in combination with other claimed elements as specificallyclaimed. The description set forth herein has been presented forpurposes of illustration and description, but is not intended to beexhaustive or limited to the form disclosed. Many modifications andvariations will be apparent to those of ordinary skill in the artwithout departing from the scope and spirit of the disclosure. Theembodiment was chosen and described in order to best explain theprinciples of one or more aspects set forth herein and the practicalapplication, and to enable others of ordinary skill in the art tounderstand one or more aspects as described herein for variousembodiments with various modifications as are suited to the particularuse contemplated.

What is claimed is:
 1. A computer implemented method comprising:determining that a bystander and a sender of a text-based message sentto a user are in a same confidentiality group; examining the text-basedmessage for any confidentiality restriction; ascertaining that the userwants the text-based message to be read to the user; and delivering thetext-based message by voice such that the user hears the text-basedmessage, wherein the delivering the text-based message by voice suchthat the user hears the text-based message is performed responsively tothe ascertaining that the user wants the text-based message to be readto the user.
 2. The computer implemented method of claim 1, furthercomprising receiving by a user mobile device running a voice deliveryapplication, the text-based message sent from the sender using a senderdevice to the user using the user mobile device via a mobile servicesnetwork; and storing device environment data comprising inputs from atleast one sensor of the user mobile device.
 3. The computer implementedmethod of claim 1, wherein the determining that the sender and thebystander are in the same confidentiality group includes determiningthat the sender and the bystander are in the same confidentiality groupbased on data comprising communication service subscription data of theuser, contacts stored in a user mobile device of the user, and socialmedia data for each of the user, the sender, and the bystander,respectively.
 4. The computer implemented method of claim 1, wherein thedetermining that the sender and the bystander are in the sameconfidentiality group includes determining that the sender and thebystander are in the same confidentiality group based on one or more ofthe following selected from the group consisting of communicationservice subscription data of the user, contacts stored in a user mobiledevice of the user, social media data of the user, social media data ofthe sender, and social media data of the bystander.
 5. The computerimplemented method of claim 1, wherein the method includes deciding thatthe bystander is present within a hearing distance from the user, saiddeciding comprising: discovering that a user mobile device of the useris coupled to an external speaker; and discovering that the bystander ispresent within a range of the external speaker.
 6. The computerimplemented method of claim 1, wherein the method includes deciding thatthe bystander is present within a hearing distance from the user, saiddeciding comprising discovering that a user mobile device of the user isnot coupled to an external speaker; discovering that the user mobiledevice is moving slower than a threshold speed set for delivering thetext-based message by voice; and discovering that the bystander ispresent within a range of an embedded speaker of the user mobile device.7. The computer implemented method of claim 1, said determiningcomprising: discovering that the user shares a subscription plan withthe sender and the bystander; and determining that the sender and thebystander are in the same confidentiality group.
 8. The computerimplemented method of claim 1, wherein the examining the text-basedmessage for any confidentiality restriction includes scanning content ofthe text-based message for any confidentiality restriction based onpredefined keywords appearing in envelope data of the text-basedmessage.
 9. The computer implemented method of claim 1, wherein thedelivering the text-based message by voice is performed responsively toa result of the examining indicating that the text-based message is safefor delivery.
 10. The computer implemented method of claim 1, whereinthe delivering the text-based message by voice is performed responsivelyto the determining that the bystander and the sender of the text-basedmessage are in a same confidentiality group, and wherein the deliveringthe text-based message by voice is performed responsively result of theexamining indicating that the text-based message is safe for delivery.11. The computer implemented method of claim 1, wherein the deliveringthe text-based message by voice is performed responsively to thedetermining that the bystander and the sender of the text-based messageare in a same confidentiality group.
 12. The computer implemented methodof claim 1, said determining comprising: discovering that the user doesnot share a subscription plan with the sender and the bystander;discovering that the sender and the bystander have respective entries incontacts of a user mobile device of the user and that the sender and thebystander are in a same group of the contacts; and determining that thesender and the bystander are in the same confidentiality group.
 13. Thecomputer implemented method of claim 1, said determining comprising:discovering that the user does not share a subscription plan with thesender and the bystander; discovering that the sender and the bystanderare not in a same group of contacts of a user mobile device of the user;discovering that the sender, the user, and the bystander are related inat least one social media and have interactions more than a minimum setof the same confidentiality group; and determining that the sender andthe bystander are in the same confidentiality group.
 14. The computerimplemented method of claim 1, said delivering comprising: playing anaudio stream corresponding to the text-based message on a speaker,wherein the speaker is either embedded in a user mobile device of theuser or external and coupled to the user mobile device; storing aresponding speech from the user via a recording device coupled to theuser mobile device, wherein the responding speech is enabled by aconfiguration of a voice delivery application; converting the respondingspeech to a response text message; and sending the response text messageto the sender.
 15. The computer implemented method of claim 1, whereinthe delivering the text-based message by voice such that the user hearsthe text-based message includes delivering the text-based message over aspeaker in hearing range of the user and the bystander.
 16. The computerimplemented method of claim 1, wherein the delivering the text-basedmessage by voice such that the user hears the text-based messageincludes delivering the text-based message over a speaker with use of avoice delivery application of a mobile device of the user, the speakerbeing in hearing range of the user and the bystander.
 17. The computerimplemented method of claim 1, wherein the method includes discoveringthat no bystander is nearby the user in response to a second text-basedmessage being sent to the user, and responsively to the discovering,delivering the second text-based message to the user with use of a voicedelivery application.
 18. The computer implemented method of claim 1,wherein the ascertaining that the user wants the text-based message tobe read to the user includes ascertaining that the user wants thetext-based message to be read with use of a voice delivery application.19. A computer program product comprising: a computer readable storagemedium readable by one or more processing circuit and storinginstructions for execution by one or more processor for performing amethod comprising: determining that a bystander and a sender of atext-based message sent to a user are in a same confidentiality group;examining the text-based message for any confidentiality restriction;ascertaining that the user wants the text-based message to be read tothe user; and delivering the text-based message by voice such that theuser hears the text-based message, wherein the delivering the text-basedmessage by voice such that the user hears the text-based messageincludes delivering the text-based message over a speaker in hearingrange of the user and the bystander.
 20. A system comprising: a memory;one or more processor in communication with the memory; and programinstructions executable by the one or more processor via the memory toperform a method comprising: determining that a bystander and a senderof a text-based message sent to a user are in a same confidentialitygroup; examining the text-based message for any confidentialityrestriction; ascertaining that the user wants the text-based message tobe read to the user; and delivering the text-based message by voice suchthat the user hears the text-based message, wherein the delivering thetext-based message by voice such that the user hears the text-basedmessage is performed responsively to the ascertaining that the userwants the text-based message to be read to the user.